First Android phone revealed by T-Mobile, Google: The first smartphone based on the Google-sponsored, Open Handset Alliance-backed Android platform was announced by T-Mobile today. The G1 will cost $180 in the U.S., has a slide-out keyboard, and has Wi-Fi, Bluetooth, and GPS built in. The phone should start shipping 22-Oct-2008 in the U.S. and November in the UK. The monthly American fee will be $25 to $35 for data on top of a two-year voice plan commitment.

Soldiers at Joint Base Balad get Wi-Fi network: 20,000 American soldiers at this base in Iraq can now use a secure mesh Wi-Fi network for personal access. The description of how the network can self-heal is perhaps particularly apt in a country torn by insurgency.

Obviously, as a practical stage one, Lexar is selling a private-label Eye-Fi Share as the Lexar Shoot-n-Sync using. Same price, same features.

What I'm waiting for, which will likely take into 2009, is for Lexar and Eye-Fi to announce partnerships with a major camera maker or two that will allow the Lexar or Eye-Fi card to talk directly to the camera to control battery savings mode, as well as other details. Conceivably, a camera that supports an external GPS (like the new Nikon D90) could allow the Eye-Fi to retrieve coordinates and perform assistive GPS using its Wi-Fi positioning software, and so forth. There's a lot of potential.

Which of the following initiatives are likely to be a major telecommunications technology related priority for 2007? Mobility is a huge issue.

We’re starting to see traction with mobility.

• The evolution of enterprise mobility:
  • Voice –> messaging –> e–mail –> web, –> business applications –>  instant messaging/presence –> what’s next?
• Cell phone to Smartphone:
  • 1G –> 2G –> 3G

Converging IT Responsibilities

Collaboration, Web/Internet, Desktop Computer, Deskphone/PBX, Mobile Phone and Applications. All of this is under the umbrella of IT. IT departments are not a single cohesive unit where everyone gets along. They have different motivations, budgets, goals, etc.

BlackBerry manages all of these responsibilities in one, forcing these departments to collaborate and work together. This is key for interoperability between these systems, knowing how they work together.

Desktop capabilities are expected in mobility:

• Information
• Collaboration
• Voice
• Transactions
• Presence
• Application

Mobile devices are fundamentally changing the pace of which we all work. You can reach anybody at anytime. This changes business.

All of this is working with data that is behind a corporate firewall.

The big change in IT is that for almost any industry now, the data that you have and you manage is a core corporate asset. It doesn’t matter whether you’re in manufacturing, logistics, or a bakery. Information is king. This has the benefit of moving IT up to a C-level position. You are a core part of your business success. This has benefits, and also added stress.

Voice is still the “killer app” for mobility. Deskphones and smartphones need to overlap into a mobile voice system.

Another up and coming technology is the mobilization of enterprise applications. This provides the ultimate user experience. For example, Blackberry has mobilized the SAP Business Suite on BlackBerry smartphones. SAP CRM access is as seamless and intuitive as email on BlackBerry and incorporates push, alerting, security, GPS, Wi-Fi and media.

Enterprise grade platforms will extend core competencies of enterprise systems to mobile environments.

• Secure
• Reliable
• Manage
• Control
• Administration
• Standardize

Conclusion:

Putting it together: integrating the wireless capabilities of today into the business tools of tomorrow.

Jon used a desktop computer attached to a GPS satellite simulator to create a fake GPS signal. Portable GPS satellite simulators can fit in the trunk of a car, and are often used for testing. They are available as commercial off-the-shelf products. You can also rent them for less than $1K a week -- peanuts to anyone thinking of hijacking a cargo truck and selling stolen goods.

In his first experiments, Jon placed his desktop computer and GPS satellite simulator in the cab of his small truck, and powered them off an inverter. The VAT used a second truck as the victim cargo truck. "With this setup," Jon said, "we were able to spoof the GPS receiver from about 30 feet away. If our equipment could broadcast a stronger signal, or if we had purchased stronger signal amplifiers, we certainly could have spoofed over a greater distance."

During later experiments, Jon and the VAT were able to easily achieve much greater GPS spoofing ranges. They spoofed GPS signals at ranges over three quarters of a mile. "The farthest distance we achieved was 4586 feet, at Los Alamos," said Jon. "When you radiate an RF signal, you ideally want line of sight, but in this case we were walking around buildings and near power lines. We really had a lot of obstruction in the way. It surprised us." An attacker could drive within a half mile of the victim truck, and still override the truck's GPS signals.

ATC is an excellent working example of complex event processing.   Radar and GPS provide the basic sensory information to accurately track and trace the position of each aircraft in the area of responsibility (AOR) of a particular control tower/zone.     Naturally,  sensory information is preprocessed and formatted in such a way that the data can be processed upstream by multiple real-time applications.

Before we look at complex ATC scenarios, such as “potential collision” or “aircraft off approach vector” we must trace and trace individual objects, aircraft-objects, accurately with very high confidence.    In addition to tracking aircraft-objects, there is a database of information about the aircraft (ideally), such as make, model, age, range, passengers and other properties about the aircraft-object.      In addition, there is a state-model for each aircraft, for example the aircraft might be “on the ground”, “approaching the runway”, “cleared for takeoff”, “cruising altitude”, “approaching runway”, “final decent” etc.  

Tracking and tracing individual aircraft is what is generally referred to as “object refinement” in our CEP/EP reference architecture.   The reason we call this function “object refinement” is that system engineers are focused on optimizing the situational knowledge about individual objects.     Sometimes we refer to this function as “track and trace” because that is what we are doing to  each object in the model.  In Marc Adler’s recent shoplifting scenario, Marc was interested in tracking and tracing people in a store using imaging processing techniques to estimate their behavioral patterns.  In the same way, before we can process for scenarios such as “potential shoplifter” or “suspicious criminal gang activity” we must be able to accurately process (track and trace) individual object, such as people or merchandise.

Back to aircraft and ATC, the “complex event processing” begins when we are looking about object-object relationships, in this model, aircraft-to-aircraft, but this is an overly simplistic model, as we have not yet added (to our model) ground features (towers, buildings, power lines), weather (storm cells, wind) and other flying objects (known migratory bird paths, swarms of insects) to our simple model.  

Complex event processing occurs when we are processing multiple objects in our model looking for threats in real-time.     Practically speaking, all ATC applications are CEP applications.  This means that vendors and integrators who build ATC applications are also CEP vendors.   

Editorial Note: CEP/EP has been around for a long time and was not recently invented in the past decade as some “inventors” would like for us to believe. 

As you can imagine, there is considerable “complex event processing” that goes on “behind the scenes” to provide air traffic controllers and pilots situational knowledge into the “friendly skies”.   As you might further imagine, the situation is more complex when the skies are “not so friendly”, for example, in air combat situations.   

Processing myriad objects is not the end of the processing “chain”.  For example, decisions are being made constantly about potential damage, alternative airports, and more.    In our reference model, we refer to this, generally speaking, as “impact assessment” because we must take an estimated detected complex event, for example “aircraft collision,” and estimate potential damage based on numerous factors such as, the amount of jet fuel in the aircrafts and the location of the aircrafts (over a large city or rural area, near a hospital and emergency services).   Regardless of the scenario, an impact assessment is normally required before optimal decisions can be made.

This is true, by the way, for our shoplifting example (the impact is different if a piece of gum is stolen versus a $1,000,000 diamond necklace or weapons-grade nuclear material) and other scenarios and models.  Static data (information about objects) is required for accurate decision processing.  

Impact assessment is not the end of the “knowledge chain”.    Decisions are constantly being made that effect resources.  For example, suggestion an alternative route for an aircraft is a resource management decision.    Turning on and off radar or switching to alternative tracking devices is a resource management function.  In our CEP/EP reference model (based on the JDL data fusion model), we call this “resource management”.   This function includes contacting emergency services and directing them to a potential crash location or sending out a message to instruct all aircraft to stay off a certain radio frequency.  Resource management is critical.

Our simple ATC model today is by no means complete, it just scratches the surface.  In fact, I have a very close friend, Mark Secrist, who is a former Marine fighter pilot and currently a senior captain for American Airlines.   I have asked Mark to read this post and help me further refine this crude “laymans” ATC model (Thanks Mark!).

Oddly, Nikon also announced the $500 P6000 with a built-in GPS receiver, 13.5 MP sensor, 4x zoom, and effective 6400 ISO--and a built-in Ethernet jack. Which is a very weird choice. I know Wi-Fi adds cost and reduces battery life-span, but I would think that GPS plus Wi-Fi would allow assisted GPS for faster coordinated lookups (if the Wi-Fi tapped into Skyhook's system and cached some location information), as well as offering automated uploads, and Wi-Fi positioning when GPS signals couldn't be reached.

Seems like a missed ship here.

Eye-Fi raises $11m in second funding round: I don't cover companies' financial dealings often, but Eye-Fi is always worth highlighting, as they appear to be the only smart entrant in the entire universe of cameras-with-Wi-Fi, and they're not even a camera maker. Camera makers have typically limited or straitjacked the onboard Wi-Fi. Eye-Fi's now three models of SD cards with Wi-Fi built in have a pretty wide range of controls and abilities. I tested out the Eye-Fi Explore recently, which pairs Wi-Fi GPS-like positioning from Skyhook with Wayport hotspot access, and the review appears in Saturday's Seattle Times. Eye-Fi's biggest challenge is better camera integration, so that cameras can handle power management in discussion with the card; camera makers have to not feel threatened by Eye-Fi's smart technology, though.